AIMC Topic: Hand Strength

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[Research on multi-scale convolutional neural network hand muscle strength prediction model improved based on convolutional attention module].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
In order to realize the quantitative assessment of muscle strength in hand function rehabilitation and then formulate scientific and effective rehabilitation training strategies, this paper constructs a multi-scale convolutional neural network (MSCNN...

Robotically adjustable kinematics in a wrist-driven orthosis eases grasping across tasks.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Without finger function, people with C5-7 spinal cord injury (SCI) regularly utilize wrist extension to passively close the fingers and thumb together for grasping. Wearable assistive grasping devices often focus on this familiar wrist-driven techniq...

Reconstruction of Continuous Hand Grasp Movement from EEG Using Deep Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Brain-Computer Interface (BCI) is a promising neu-rotechnology offering non-muscular control of external devices, such as neuroprostheses and robotic exoskeletons. A new yet under-explored BCI control paradigm is Motion Trajectory Prediction (MTP). W...

Artificial touch feedback using microstimulation of human somatosensory cortex to convey grip force from a robotic hand.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Invasive brain-machine interfaces can help restore function through the control of external devices while the addition of intracortical microstimulation (ICMS) can elicit sensations of touch and help provide further benefits for individuals living wi...

Multi-Grasp Classification for the Control of Robot Hands Employing Transformers and Lightmyography Signals.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
The increasing use of smart technical devices in our everyday lives has necessitated the use of muscle-machine interfaces (MuMI) that are intuitive and that can facilitate immersive interactions with these devices. The most common method to develop M...

Natural Grasp Intention Recognition Based on Gaze in Human-Robot Interaction.

IEEE journal of biomedical and health informatics
OBJECTIVE: While neuroscience research has established a link between vision and intention, studies on gaze data features for intention recognition are absent. The majority of existing gaze-based intention recognition approaches are based on delibera...

A flexible tactile sensor based on piezoresistive thin film for 3D force detection.

The Review of scientific instruments
This paper presents a flexible tactile sensor with a compact structure based on a piezoresistive thin film and an elastomer for detecting three-dimensional (3D) force. The film contains four independent sensing cells, which were made using a type of ...

Influence of the stress level on the execution of the Grooved Pegboard Test.

The Journal of sports medicine and physical fitness
BACKGROUND: The Grooved Pegboard Test (GPT) is a widely adopted test to evaluate manual dexterity. A factor that could influence the cognitive process is physical and mental stress, which could be controlled by respiration. Stress can be monitored th...

Effect of variable transmission on body-powered prosthetic grasping.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Body-powered upper-limb prostheses remain a popular option for those with limb absence due to their passive nature. These devices typically feature a constant transmission ratio between the forces input by the user and the grasp forces output by the ...